CRAN/E | discretefit

discretefit

Simulated Goodness-of-Fit Tests for Discrete Distributions

Installation

About

Implements fast Monte Carlo simulations for goodness-of-fit (GOF) tests for discrete distributions. This includes tests based on the Chi-squared statistic, the log-likelihood-ratio (G^2) statistic, the Freeman-Tukey (Hellinger-distance) statistic, the Kolmogorov-Smirnov statistic, the Cramer-von Mises statistic as described in Choulakian, Lockhart and Stephens (1994) doi:10.2307/3315828, and the root-mean-square statistic, see Perkins, Tygert, and Ward (2011) doi:10.1016/j.amc.2011.03.124.

github.com/josh-mc/discretefit
System requirements C++11
Bug report File report

Key Metrics

Version 0.1.2
Published 2022-01-25 832 days ago
Needs compilation? yes
License MIT
License File
CRAN checks discretefit results

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Maintainer

Maintainer

Josh McCormick

josh.mccormick@aya.yale.edu

Authors

Josh McCormick

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

package_introduction

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

discretefit archive

Imports

Rcpp

Suggests

knitr
dgof
cvmdisc
bench
testthat ≥ 3.0.0
rmarkdown

LinkingTo

Rcpp

Reverse Imports

terminaldigits